NeurIPS 2019
Sun Dec 8th through Sat the 14th, 2019 at Vancouver Convention Center
Paper ID:8279
Title:Exact Gaussian Processes on a Million Data Points

This paper makes an important contribution to the practice of large-scale Gaussian process inference. Many of the reviewers' concerns were addressed in the rebuttal. However, for the camera-ready version of the paper, I strongly encourage the authors to (1) clarify and include additional implementation details, (2) make clear how their approach differs from past work (if it does differ), and (3) include the promised new experiments with ARD priors and more train/test splits. These changes with help to maximize the paper's impact. Furthermore, please clarify the "more powerful preconditioning" language in the abstract, as suggested by Reviewer 3.